A novel DNA methylation 10-CpG prognostic signature of disease-free survival reveal that MYBL2 is associated with high risk in prostate cancer

被引:7
作者
Hou, Xueying [1 ,2 ]
Zhang, Yuelin [2 ,3 ]
Han, Siyuan
Hou, Baoxian [4 ]
机构
[1] China Med Univ, Affiliated Hosp 1, Dept Breast Surg, Shenyang 110001, Liaoning, Peoples R China
[2] China Med Univ, Sch Postgrad, Shenyang, Liaoning, Peoples R China
[3] China Med Univ, Shenyang, Peoples R China
[4] Shenyang Orthopaed Hosp, Dept Orthoped Surg, Shenyang 110044, Liaoning, Peoples R China
关键词
DNA methylation; LASSO; multiple omics; TCGA; WGCNA; B-MYB; MOLECULAR-FEATURES; GENE; DIAGNOSIS; TRANSCRIPTION; EXPRESSION; NETWORK; COMPLEX; MARKERS; FOXM1;
D O I
10.1080/14737140.2020.1838280
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Prostate cancer (PC) is the most common non-cutaneous malignancy among men in the western world. However, heterogeneity remains a pressing clinical problem. Research design and methods The least absolute shrinkage and selection operator (LASSO) was used to screen the prognostic signature. Weighted correlation network analysis (WGCNA) was used to identify the target genes associated with high-risk characteristics. Gene set enrichment analysis was used to suggest the molecular mechanism of MYBL2 in PC. In addition, in vitro experiments were carried out to validate the role of MYBL2 in PC. Results Ten DNA methylation sites were selected as the prognostic signature. A high expression of MYBL2 was associated with a poor prognosis in PC patients. The effect of MYBL2 in PC was related to KRAS, AKT, IL21, and ATM. MYBL2 facilitates the proliferation, migration, invasion, and metastasis of PC cells. Conclusions We developed a DNA methylation 10-CpG prognostic signature to predict the prognosis of PC patients. And the high expression of MYBL2 in PC may be related to poor prognosis.
引用
收藏
页码:1107 / 1119
页数:13
相关论文
共 54 条
[1]   Clinical and molecular features of treatment-related neuroendocrine prostate cancer [J].
Akamatsu, Shusuke ;
Inoue, Takahiro ;
Ogawa, Osamu ;
Gleave, Martin E. .
INTERNATIONAL JOURNAL OF UROLOGY, 2018, 25 (04) :345-351
[2]  
[Anonymous], **DATA OBJECT**
[3]   Cross-Species Regulatory Network Analysis Identifies a Synergistic Interaction between FOXM1 and CENPF that Drives Prostate Cancer Malignancy [J].
Aytes, Alvaro ;
Mitrofanova, Antonina ;
Lefebvre, Celine ;
Alvarez, Mariano J. ;
Castillo-Martin, Mireia ;
Zheng, Tian ;
Eastham, James A. ;
Gopalan, Anuradha ;
Pienta, Kenneth J. ;
Shen, Michael M. ;
Califano, Andrea ;
Abate-Shen, Cory .
CANCER CELL, 2014, 25 (05) :638-651
[4]  
BAYLIN SB, 1986, CANCER RES, V46, P2917
[5]   SnapShot: TCGA-Analyzed Tumors [J].
Blum, Amy ;
Wang, Peggy ;
Zenklusen, Jean C. .
CELL, 2018, 173 (02) :530-530
[6]   STEAP2 Knockdown Reduces the Invasive Potential of Prostate Cancer Cells [J].
Burnell, Stephanie E. A. ;
Spencer-Harty, Samantha ;
Howarth, Suzie ;
Bodger, Owen ;
Kynaston, Howard ;
Morgan, Claire ;
Doak, Shareen H. .
SCIENTIFIC REPORTS, 2018, 8
[7]   The Effect of Unilateral Spinal Anaesthesia and Psoas Compartment with Sciatic Block on the Postoperative Pain Management in Total Knee Artroplastic Surgery [J].
Canakci, Ebru ;
Unal, Dogus ;
Guzel, Yunus .
PAIN RESEARCH & MANAGEMENT, 2017, 2017
[8]   Clonal evaluation of prostate cancer molecular heterogeneity in biopsy samples by dual immunohistochemistry and dual RNA in situ hybridization [J].
Dedigama-Arachchige, Pavithra ;
Carskadon, Shannon ;
Li, Jia ;
Loveless, Ian ;
Alhamar, Mohamed ;
Peabody, James O. ;
Stricker, Hans ;
Chitale, Dhananjay A. ;
Rogers, Craig G. ;
Menon, Mani ;
Gupta, Nilesh S. ;
Bismar, Tarek A. ;
Williamson, Sean R. ;
Palanisamy, Nallasivam .
MODERN PATHOLOGY, 2020, 33 (09) :1791-1801
[9]   Myc-driven murine prostate cancer shares molecular features with human prostate tumors [J].
Ellwood-Yen, K ;
Graeber, TG ;
Wongvipat, J ;
Iruela-Arispe, ML ;
Zhang, JF ;
Matusik, R ;
Thomas, GV ;
Sawyers, CL .
CANCER CELL, 2003, 4 (03) :223-238
[10]   Fine mapping and subphenotyping implicates ADRA1B gene variants in psoriasis susceptibility in a Chinese population [J].
Fan, Xing ;
Wang, Hongyan ;
Sun, Liangdan ;
Zheng, Xiaodong ;
Yin, Xianyong ;
Zuo, Xianbo ;
Peng, Qian ;
Standish, Kristopher A. ;
Cheng, Hui ;
Zhang, Yaohua ;
Wang, Zaixing ;
Xiao, Fengli ;
Yang, Sen ;
Zhang, Xuejun ;
Schork, Nicholas J. .
EPIGENOMICS, 2019, 11 (04) :455-467